VAR
Qwen3.5-9B-Claude-4.6-OS-Auto-Variable-HERETIC-UNCENSORED-THINKING-MAX-NEOCODE-Imatrix-GGUFqwen3.8-27b-3090-fast-varianttiny-stable-diffusion-torch-custom-variantQwen3.5-2B-Claude-4.6-OS-Auto-Variable-HERETIC-UNCENSORED-THINKING-GGUFQwen3.8-27B-TTURBO-Cold-Fusion-709-L-NM-DAU-UltraOptimised-VariableThinking-GGUFQwen3.5-4B-Claude-4.6-OS-Auto-Variable-HERETIC-UNCENSORED-THINKING-GGUFtiny-stable-diffusion-torch-custom-variantQwen3.5-4B-Claude-4.6-OS-Auto-Variable-HERETIC-UNCENSORED-THINKING-i1-GGUF
Datasets
All datasets matching “VAR”various
malcolmrey's Various AI Model, Architecture & Research Repository
Welcome to the central research and asset repository of malcolmrey. This repository hosts cutting-edge tools, custom architectures, RefMod latent adapter systems, video synthesis engines, training configurations, benchmark suites, cinematic scripts, and comprehensive educational guides spanning MiniMax-H3, FLUX.2 / Klein 9B, WAN 2.1, LTX-Video, Z-Image, SDXL, and Stable Diffusion.
🧭 Repository Map &… See the full description on the dataset page: https://huggingface.co/datasets/malcolmrey/various.Transparent_BOP
Object Pose Estimation Using Implicit Representation for Transparent Objects
This dataset aggregates high quality 3D mesh assets and rendered data for training and fine-tuning pose estimation models. It unifies four significant datasets: ClearPose, DIMO, HouseCat6D, and TRansPose, all formatted for BOP (Benchmark for 6D Object Pose Estimation) evaluation.
Visualization
Below is a collage showing sample RGB inputs from the constituent datasets:
Component… See the full description on the dataset page: https://huggingface.co/datasets/varunburde/Transparent_BOP.C-VARCThis repository contains all the data associated with the paper "C-VARC: A Large-Scale Chinese Value Rule Corpus for Value Alignment of Large Language Models".
We propose a three-tier value classification framework based on core Chinese values, which includes three dimensions, twelve core values, and fifty derived values. With the assistance of large language models and manual verification, we constructed a large-scale, refined, and high-quality value corpus containing over 250,000 rules. We… See the full description on the dataset page: https://huggingface.co/datasets/Beijing-AISI/C-VARC.Real-IAD_Varietysuno-various-94k
Suno Various 94k: originals, ACE-Step covers, and stems
A unified, indexed repository containing 94,174 exact source/cover pairs for
reference conditioning, preference, slider, source-separation, and music
style-transfer research. Four independently loadable configurations provide the
original tracks, generated covers, and four-source stems for both sides.
Configurations
Configuration
Shards
Samples
Contents
original
85
94,174
Original MP3 plus JSON… See the full description on the dataset page: https://huggingface.co/datasets/webshart/suno-various-94k.wxy_var
VAR: a new visual generation method elevates GPT-style models beyond diffusion🚀 & Scaling laws observed📈
Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction
NeurIPS 2024 Best Paper
News
2024-12: 🏆 VAR received NeurIPS 2024 Best Paper Award.
2024-12: 🔥 We Release our Text-to-Image research based on VAR, please check Infinity.
2024-09: VAR is accepted as NeurIPS 2024 Oral Presentation.
2024-04: Visual… See the full description on the dataset page: https://huggingface.co/datasets/slz1/wxy_var.
